Upload
claribel-newman
View
212
Download
0
Embed Size (px)
DESCRIPTION
2. ON SALES enterprises selling agricultural means of production data collection in each 3 month quantity (active ingredients) price Data from the past/recent (what is available?)
Citation preview
„Improvement of statistical methods on the use of organic and inorganic fertilisers”
GRANT projectNo. 67303.2007.001-2007.556
Co-ordination meeting, Luxembourg, December 2008
HUNGARY
1. ON CONSUMPTION
mostly for agricultural enterprises, but some limited data on private holdings
annual collection on sample base
• land area fertilised
• fertiliser (organic and inorganic) input by land use categories
• certain figures on active ingredients (inorganic)
• data for important group of crops
Data from the past/recent (what is available?)
2. ON SALES
enterprises selling agricultural means of production
data collection in each 3 month
• quantity (active ingredients)
• price
Data from the past/recent (what is available?)
3. DISSEMINATION
most important data are published (yearbooks, webpage)
Data from the past/recent (what is available?)
● new and increasing data needs (statistics, agro-environment, etc)
●on farm level
●on crop level
● need for methodological improvement (coverage, reliability and quality)
● reduction of the respondents’ burden
Challenges
Aims of the project
•elaboration of a comprehensive statistical method to
measure/estimate the fertiliser input
•quality improvement
•providing suitable input for other statistics, analyses
•less burden – „more” data
The project (Grant)
1. Analysing the available data
2. Pilot survey
3. Evaluation and recommendations (report)
Schedule
Nov. 2007
signature
Dec. 2009
end of project
Dec. 2008
Mid-time
pilot survey
data analysis●●●●●● model, recommendations
1. Analyses
• what is available?
• quality of the data?
• establishment of a „data-inventory” (2000 - )
• comprehensive approach of handling data (4 experts in 5 years) and possible revision
(if needed)• what we need?
2. Pilot survey
• testing a new questionnaire (block)
• what sort of data can/should be collected?
• how farmers react (burden)?
• costs/benefits
2. Pilot survey
• in one region (South Great Plain)
perfect conditions for crop production
lot of farms
almost all crops are produced
2. Pilot survey
• in one region (South Great Plain)
• stratified sample (typology)
12 strata
200 agr. enterprises (20%)
1800 + 150-200 private holdings (2%)
planned reality
more strata for enterprises
200 agr. enterprises (19,2%)
1136 + 174 private holdings
Basis for sampling: FSS 2007 holdings
• enterprises (1037):
stratified random sampling
NUTS3 (3 counties) x 6 size classes (ESU) x 8 types (typology 1-8)
• private holdings
a) larger ones (175) all
b) enumeration districts where annual regular survey is carried out (1136) all
2. Pilot survey
• in one region (South Great Plain)
• stratified sample (typology)
• very detailed questionnaire
Questionnaire
1. registration of fertilising is kept2. use of calk/organic fertiliser on the holding
in 2008
over the previous 3 years (2005-2007)
during 2002-2004
during 1999 - 2001
3. use of calk (area and quantity) by LU categories, 2008
4. farm level export/import of organic fertilisers(quantity, 21 types), 2008
Questionnaire
5. organic fertilising, 2008
- crop level: by crop on arable land and fruit orchards
- aggregated level: vineyard, kitchen garden, pastures and meadows, forest, under cover, nurseries
- area and quantity
- type (21 types)
- additional info: incorporation, irrigation
Questionnaire
6. inorganic fertilising, 2008
- crop level: by crop on arable land and fruit orchards
- aggregated level: vineyard, kitchen garden, pastures and meadows, forest, under cover, nurseries
- area and quantity
- month
- product (> active ingredients)
- additional info: type of fertilising, incorporation, irrigation
2. Pilot survey
• in one region (South Great Plain)
• stratified sample (typology)
• very detailed form
• December 2008 (connected to regular annual data collection)
• voluntary base
3. Evaluation and recommendations (report)
• data collection in 2010 (FSS/SAPM) and in the future
• less complex survey
• reducing burden
• elaboration of an estimation method on holding/crop level
• possible inclusion of administrative data
• others
Thanks for your attention!